Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13756-015-0066-3
Title: Risk factors for acquisition of carbapenem resistant Enterobacteriaceae in an acute tertiary care hospital in Singapore
Authors: Ling, M.L 
Tee, Y.M
Tan, S.G
Amin, I.M
How, K.B
Tan, K.Y
Lee, L.C
Keywords: antibiotic agent
carbapenemase
penicillin derivative
polypeptide antibiotic agent
adult
Article
bacterial colonization
carbapenem resistant Enterobacteriaceae
case control study
central venous catheter
controlled study
Enterobacter cloacae
Enterobacteriaceae infection
Escherichia coli
female
hospital patient
human
intensive care
Klebsiella pneumoniae
major clinical study
male
mortality
nonhuman
polymerase chain reaction
priority journal
Singapore
tertiary health care
Issue Date: 2015
Citation: Ling, M.L, Tee, Y.M, Tan, S.G, Amin, I.M, How, K.B, Tan, K.Y, Lee, L.C (2015). Risk factors for acquisition of carbapenem resistant Enterobacteriaceae in an acute tertiary care hospital in Singapore. Antimicrobial Resistance and Infection Control 4 (1) : 26. ScholarBank@NUS Repository. https://doi.org/10.1186/s13756-015-0066-3
Rights: Attribution 4.0 International
Abstract: Background: Carbapenem resistant Enterobacteriaceae (CRE) is increasingly reported worldwide. A similar increase is seen in Singapore since identification of its first case in 2008. The aim of this study was to identify local risk factors for carriage of CRE in patients from an acute tertiary care hospital in Singapore. Method: A matched case-control study was conducted on inpatients treated from January 1, 2011 till December 31, 2013. Two hundred and three cases of CRE infection or colonization were matched with 203 controls. CRE types were identified by PCR. Statistical analysis of data including a multivariate logistic regression analysis was done using SPSS 21.0. Results: CREs were commonly seen in Klebsiella pneumoniae (42.2 %), Escherichia coli (24.3 %) and Enterobacter cloacae complex (17.2 %) in the 268 isolates. NDM-1 was the commonest CRE type seen (44.4 %), followed by KPC (39.9 %) whilst OXA-48 only constituted (7.8 %). Univariate analysis identified key risk factors associated with CRE as history of previous overseas hospitalization (OR: 33.667; 95 % CI: 4.539-259.700), admission to ICU (OR: 11.899; 95 % CI: 4.986-28.399) and HD/ICA (OR: 6.557; 95 % CI: 4.057-10.596); whilst a multivariate analysis revealed exposure to antibiotics penicillin (OR: 4.640; 95 % CI: 1.529-14.079] and glycopeptide (OR: 5.162; 95 % CI: 1.377-19.346) and presence of central line device (OR: 3.117; 95 % CI: 1.167-8.330) as significant independent predictors. Conclusions: The identification of risk factors amongst our local population helped to refine the criteria used for target active surveillance screening for CRE amongst inpatients at time of hospital admission. © 2015 Ling et al.
Source Title: Antimicrobial Resistance and Infection Control
URI: https://scholarbank.nus.edu.sg/handle/10635/180332
ISSN: 20472994
DOI: 10.1186/s13756-015-0066-3
Rights: Attribution 4.0 International
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